An Introduction to Entity Resolution in Python/

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Similarity of Numeric Attributes

Similarity of Numeric Attributes

Become familiar with configuring numeric similarity functions with the RecordLinkage API.

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Duplicate payments likely have similar amounts and transaction dates. Duplicate locations have similar geocodes. All three are numeric (vector) attributes. Let’s use a tiny dataset to show how to configure similarity features for numeric attributes using the RecordLinkage API.

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import pandas as pd
df = pd.DataFrame({'amount': [123.45, 110.66, 120.55],
                   'date': pd.to_datetime(['2022-06-25', '2022-04-01', '2022-07-03']),
                   'lon': [6.54321, 6.98765, 6.54398],
                   'lat': [51.23456, 51.22222, 51.23111]})
print(df)

Note that dates can be interpreted as strings or numeric values in units of, for example, days. Our focus here is on the numeric interpretation.

Custom comparer

A similarity feature is limited to ...